Job Title: Data Engineer
Skills: Python | SQL | NoSQL
Experience: 3–7 Years Employment Type: Full Time / Contract Work Mode: Onsite
Authorization: USC
Job Summary
We are looking for a talented and experienced Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support business intelligence and analytics needs.
Key Responsibilities
- Design, develop, and maintain robust data pipelines and ETL/ELT processes
- Build and optimize data models for both relational and non-relational databases
- Write efficient Python scripts for data extraction, transformation, and loading
- Collaborate with data scientists and analysts to understand data requirements
- Ensure data quality, consistency, and integrity across all data platforms
- Monitor and troubleshoot data pipeline performance and failures
- Implement best practices for data security and governance
- Work with cloud platforms (AWS/Azure/GCP) for data storage and processing
Required Skills
- Strong proficiency in Python for data engineering and automation
- Hands-on experience with SQL databases (PostgreSQL, MySQL, MS SQL Server)
- Experience with NoSQL databases (MongoDB, Cassandra, DynamoDB, or Redis)
- Knowledge of data warehousing concepts and data modeling
- Experience with big data tools (Spark, Kafka, Airflow) is a plus
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Strong problem-solving and analytical skills
Nice to Have
- Experience with dbt, Snowflake, or Databricks
- Knowledge of data governance and data quality frameworks
- Exposure to machine learning pipelines
Pay: $50.00 - $60.00 per hour
Work Location: In person